Hlx Life Sciences

1 Job

15 Employees

About the Company

We are Hlx Life Sciences. A specialised talent consultancy addressing the critical shortage of skilled professionals in the life sciences sector worldwide.

Drawing from our leadership and advisory boards first-hand experience, we understand the unique challenges faced by growing Life Science organisations.

With a variety of services that will revolutionise the talent services market, our offices in Basel and London are positioned to make a meaningful global impact and drive positive change in the life sciences industry.

Sectors including Pharmaceuticals, Biotechnology, TechBio, CRO, CDMO, Health Technology and Medical Devices.

We specialise in providing scalable and customised talent solutions for thriving Life Science companies. Our core services include:

InSource: InSource addresses the critical need for streamlined resource management in the Life Sciences industry. Our model provides an in-house solution by outsourcing dedicated FTE resources from our virtual bench.

Scale: We represent your company in the market, helping you scale via an outsourced talent solution. A dedicated talent team providing a cost-effective, project hiring solution for growing companies.

If you are interested to hear more please get in touch with us by email: info@hlxgroup.co.uk

Listed Jobs

Company Name: Hlx Life Sciences
Job Title: ML Research Engineer
Job Description: Job title: ML Research Engineer Role Summary: Translate cutting‑edge generative AI research into production‑ready molecular discovery tools for a sustainable agriculture platform. Drive end‑to‑end ML pipeline development, from data ingestion to inference, enabling research scientists to iterate quickly and reliably. Expectations: Deliver robust, scalable, and maintainable ML systems; optimize distributed training and inference pipelines; integrate experiment tracking and monitoring; collaborate with multidisciplinary teams to ensure reproducible research. Key Responsibilities: - Implement and productionise ML prototypes into clean, testable codebases. - Design, build, and maintain data ingestion, preprocessing, training, inference, and evaluation pipelines. - Optimize distributed GPU/cluster training and inference across AWS, GCP, or HPC environments. - Add monitoring, logging, and experiment tracking (Weights & Biases, MLflow). - Collaborate closely with research scientists to accelerate experimentation and reproducibility. - Contribute to engineering best practices: code reviews, documentation, CI/CD, and standards. Required Skills: - Proficient in PyTorch, Docker, Kubernetes, and CI/CD tools (GitHub Actions). - Experience with MLOps/DevOps tooling, experiment tracking, and large‑scale training infrastructure. - Strong software engineering fundamentals: testing, version control, documentation, monitoring. - Excellent communication and collaboration skills. Required Education & Certifications: - PhD or MSc in Computer Science, Mathematics, Statistics, or related technical field (or equivalent experience). - Minimum 2 years in fast‑paced research/engineering environments, preferably early‑stage companies. - No specific certifications required, but experience with cloud platforms (AWS/GCP), SLURM, and infrastructure‑as‑code (Terraform) is advantageous.